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followers: 26.0 following: 6.0 repos: 30.0 gists: 36.0

Name: Chris Waigl

Type: User

Company: University of Alaska Fairbanks

Location: Alaska, USA

Blog: https://twitter.com/chrys

Chris Waigl's Projects

abstraction-for-students-of-all-the-things

My talk at PyCascades 2019

aiccfiredata

code to process and extract features from AICC fire data retrieved via REST web service

bc

Template for Software Carpentry bootcamp site repository.

current_website_fordeployment

My professional website for deployment from GitHub

fireice_bf_hyspex_public

Public version of HySpex processing code

hyperionfire2017

Work on fire detection and fire-related feature extraction from EO-1 Hyperion data

hypro

Workflow for geometric and radiometric calibration of airborne imaging spectroscopy data, especially using HySpex devices.

hyspex_planning

Various scripts and notebooks to help planning HySpex aerial surveys

ipalizer

Tools to work with phonetic transcriptions (IPA, Merriam-Webster house style), written in Python

latex-homework-template

A template for written and coding assignments used in the University of Alaska Fairbanks class GEOS F631 Fundamentals of Geophysics

leastests

trials and tribulations

modapsclient

Client for NASA's MODIS Adaptive Processing System (MODAPS) data archive at the Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC)

mushingtech

Repo containing code related to Mushing Tech

ncdc_cdo_demo

How to talk with the US National Centers for Environmental Information Climate Data Online web services - some Jupyter Notebooks

pandoc-latex-template

A pandoc LaTeX template to convert markdown files to PDF or LaTeX.

paper_fuels_hyspex

repo for 2022 BCEF & CPCRW fuels paper

paper_mkb_hyspex

Data analysis code for MBK paper

pycon2017

Notebooks and slides for my PyCon US 2017 talk

pygaarst

Python geospatial analysis and remote sensing tools

pygaarst-scripts

This is a collection of useful scripts carrying out operations on geospatial and remote sensing data, some using the pygaarst library, some stand-alone.